cancel_order
Cancel an unclaimed tea shop order by providing its order ID. Use this tool to void orders that have not been picked up yet.
Instructions
取消訂單(僅限尚未領取的訂單)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| order_id | Yes | 訂單 ID |
Cancel an unclaimed tea shop order by providing its order ID. Use this tool to void orders that have not been picked up yet.
取消訂單(僅限尚未領取的訂單)
| Name | Required | Description | Default |
|---|---|---|---|
| order_id | Yes | 訂單 ID |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v1.0.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It reveals the precondition about unpicked orders but does not state that cancellation is likely destructive/irreversible, what state the order enters, or any permission/authorization requirements. For a mutating tool, this is a notable gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single compact sentence with the key constraint placed in parentheses. It contains no filler and every word adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple and the schema fully documents the only parameter, but with no annotations and no output schema the description does not explain the mutation's effects or possible error conditions. It is sufficient for tool selection, but leaves some behavioral context for the agent to infer.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The only parameter, order_id, is already fully documented in the schema with 100% coverage. The description adds no additional meaning about the parameter, so the baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action '取消' (cancel) and the target '訂單' (order), and adds a scope constraint ('僅限尚未領取的訂單'). This distinguishes it well from sibling tools like create_order, pickup_order, and the read-only listing tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says the tool only applies to orders that have not yet been picked up, which is a clear usage condition. It does not name an alternative for already-picked-up orders, so it stops just short of full routing guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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